Automatic Generation of Affective 3D Virtual Environments from 2D Images

Alberto Cannavò, Arianna D’Alessandro, Daniele Maglione, Giorgia Marullo, Congyi Zhang, Fabrizio Lamberti

2020

Abstract

Today, a wide range of domains encompassing, e.g., movie and video game production, virtual reality simulations, augmented reality applications, make a massive use of 3D computer generated assets. Although many graphics suites already offer a large set of tools and functionalities to manage the creation of such contents, they are usually characterized by a steep learning curve. This aspect could make it difficult for non-expert users to create 3D scenes for, e.g., sharing their ideas or for prototyping purposes. This paper presents a computer-based system that is able to generate a possible reconstruction of a 3D scene depicted in a 2D image, by inferring objects, materials, textures, lights, and camera required for rendering. The integration of the proposed system into a well-known graphics suite enables further refinements of the generated scene using traditional techniques. Moreover, the system allows the users to explore the scene into an immersive virtual environment for better understanding the current objects’ layout, and provides the possibility to convey emotions through specific aspects of the generated scene. The paper also reports the results of a user study that was carried out to evaluate the usability of the proposed system from different perspectives.

Paper Citation

in Harvard Style

Cannavò A., D’Alessandro A., Maglione D., Marullo G., Zhang C. and Lamberti F. (2020). Automatic Generation of Affective 3D Virtual Environments from 2D Images. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 1: GRAPP; ISBN 978-989-758-402-2, SciTePress, pages 113-124. DOI: 10.5220/0008951301130124

in Bibtex Style

@conference{grapp20,
author={Alberto Cannavò and Arianna D’Alessandro and Daniele Maglione and Giorgia Marullo and Congyi Zhang and Fabrizio Lamberti},
title={Automatic Generation of Affective 3D Virtual Environments from 2D Images},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 1: GRAPP},
year={2020},
pages={113-124},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008951301130124},
isbn={978-989-758-402-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 1: GRAPP
TI - Automatic Generation of Affective 3D Virtual Environments from 2D Images
SN - 978-989-758-402-2
AU - Cannavò A.
AU - D’Alessandro A.
AU - Maglione D.
AU - Marullo G.
AU - Zhang C.
AU - Lamberti F.
PY - 2020
SP - 113
EP - 124
DO - 10.5220/0008951301130124
PB - SciTePress